Crowdsourcing is a model in which individuals or organizations obtain goods and services from a large, open and rapidly-evolving group of Internet users. The idea of dividing work between participants to achieve a cumulative result has been applied successfully in many areas, from biology and linguistics to engineering and cultural heritage. As a particular branch of crowdsourcing, crowd computing (aka "human computation") systematizes the intertwining of human intelligence with artificial intelligence, aiming to solve tasks that are hard for individuals or computers to do alone. The key principles include (i) automation: machines do non-creative and repetitive work, providing a cascade of knowledge for humans to evaluate; (ii) micro-tasking: work is broken into small tasks that are easier to complete by humans chosen specifically on the grounds of their expertise; and (iii) mixed crowd: a greater volume of work, and of greater value, can be completed when specialists and open communities work together.

The CROPS workshop seeks to become a forum to discuss broad, interdisciplinary research about human-in-the-loop intelligent e-services, human-AI interaction, and techniques for augmenting the abilities of individuals and communities to perform whichever tasks. We thereby solicit papers presenting theoretical contributions or practical uses of crowdsourcing and crowd computing models in any domains of application.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Proceedings are planned to be published as a book by Springer-Verlag in Lecture Notes in Computer Science (LNCS) series.

Submissions need to follow the LNCS formatting guidelines. They should have from 6 to 12 pages, including figures, tables and appendices.